Machine Learning Engineer
Core
Design, build, and deploy machine learning solutions that solve real business problems at scale, working end-to-end from data exploration to production deployment.
Role type
Senior Machine Learning Engineer
Builds
Production-ready ML solutions, scalable data pipelines, and intelligent systems for international clients in technology, finance, telecom, automotive, and retail.
Domain
Technology, Finance, Telecom, Automotive, Retail
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Scikit-learn, NumPy, Pandas, supervised learning, unsupervised learning, LLMs, agent-based workflows, feature engineering, model evaluation, cloud platform integration
Preferred skills
NLP solutions, anomaly detection, classification models, predictive models, architecture design, technical documentation
Technologies
PyTorch, TensorFlow, Scikit-learn, NumPy, Pandas, cloud platforms
Responsibilities
Design, develop, and deploy machine learning models for production systems; Build scalable data pipelines and software solutions for large datasets; Perform data analysis, feature engineering, and model evaluation; Develop predictive models, anomaly detection systems, classification models, and NLP solutions; Work with LLMs, prompting techniques, and agent-based workflows; Integrate machine learning models into existing applications and cloud platforms
Seniority
Senior, hands-on IC
